Traffic Counting and Turning Fraction Estimation using Vehicle-to-UAV Co-operative communication

S. Sreenath, M. Panda
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引用次数: 1

Abstract

The current roads and supporting infrastructure are often found to be incapable of handling the rapid increase in traffic, leading to congestion and incidents. The availability of accurate and real-time information about the traffic demands may go a long way in designing better traffic control and management systems. Two important quantities of interest for traffic control are the ‘traffic count’ on road segments between junctions and ‘turning fractions’ at the junctions. Together, these two quantities can determine the traffic flow requirements over the road network. The aims of the paper are to investigate the performance of the Vehicle-to-UAV (V2U) communication method for traffic counting and turning fraction estimation using vehicular network simulations and compare with the performance of Bluetooth and loop detectors.
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基于车-无人机协同通信的交通计数与转弯率估计
目前的道路和配套基础设施往往无法处理快速增长的交通,导致拥堵和事故。获得有关交通需求的准确和实时信息,可能对设计更好的交通控制和管理系统大有帮助。交通控制中两个重要的量是路口之间路段的“交通计数”和路口的“转弯分数”。这两个量可以共同确定路网上的交通流需求。本文的目的是利用车辆网络仿真研究车对无人机(V2U)通信方法在交通计数和转弯分数估计方面的性能,并与蓝牙和环路检测器的性能进行比较。
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